Evidence map›Paper›PMID 25239112›Full record

ReviewJPEN. Journal of parenteral and enteral nutrition2014

Lean tissue imaging: a new era for nutritional assessment and intervention.

Carla M M Prado, Steven B Heymsfield

Erratum issued 4 registry-linked trialsAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in JPEN. Journal of parenteral and enteral nutrition, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to 4 registered trials, which are not on this map. Cited by 233 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
233citing papers in PubMed, 9 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT03160222 naunknown statusnot on this mapstarted 2017, after this paper: background citation

Validation of Bedside Ultrasound to Predict Body Composition in Non- and Critically Ill Patients: The USVALID Prospective Study

TypeinterventionalSponsorMedical University of ViennaRan2017 to 2019Enrolled250ConditionsUltrasound, Body CompositionArmsBody Composition Measurements
NCT03374033 naunknown statusnot on this mapstarted 2017, after this paper: background citation

Effect of High Protein and High Energy Intakes and Physical Activity on Growth and Body Composition of Extremely Low Birth Weight Infants: a Randomised Controlled Trial.

TypeinterventionalSponsorUniversità Politecnica delle MarcheRan2017 to 2022Enrolled200ConditionsInfant, Very Low Birth WeightArmsNUTR +, STIMUL +
NCT04262531 completednot on this mapstarted 2019, after this paper: background citation

Body Composition and Clinical Outcomes in Critically Ill Patients: A Prospective Observational Study

TypeobservationalSponsorUniversity of MalayaRan2019 to 2020Enrolled90ConditionsCritical Illness, Muscle Loss
NCT06531200 not yet recruitingnot on this mapstarted 2024, after this paper: background citation

Building of Prognosis Model for Patients With Cirrhosis Based on Sarcopenia in Assessment With the Technology of Deep Learning

TypeobservationalSponsorPeking University People's HospitalRan2024 to 2025Enrolled1,000ConditionsCirrhosis, Liver, Sarcopenia
3 · Its place in the literature

Who cites it

233 citing papers in PubMed, 9 syntheses or guidelines pooled it.

  1. Pooled it
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  3. Effects of exercise with or withoutFrontiers in nutrition · 2024
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  9. Predictive Value of Preoperative Sarcopenia in Patients with Gastric Cancer: a Meta-analysis and Systematic Review.Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract · 2018
    Pooled it
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173 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Carla M M PradoDepartment of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB, Canada carla.prado@ualberta.ca.
Steven B HeymsfieldPennington Biomedical Research Center Baton Rouge, Louisiana.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Body composition refers to the amount of fat and lean tissues in our body; it is a science that looks beyond a unit of body weight, accounting for the proportion of different tissues and its relationship to health. Although body weight and body mass index are well-known indexes of health status, most researchers agree that they are rather inaccurate measures, especially for elderly individuals and those patients with specific clinical conditions. The emerging use of imaging techniques such as dual energy x-ray absorptiometry, computerized tomography, magnetic resonance imaging, and ultrasound imaging in the clinical setting have highlighted the importance of lean soft tissue (LST) as an independent predictor of morbidity and mortality. It is clear from emerging studies that body composition health will be vital in treatment decisions, prognostic outcomes, and quality of life in several nonclinical and clinical states. This review explores the methodologies and the emerging value of imaging techniques in the assessment of body composition, focusing on the value of LST to predict nutrition status.

Indexed as

Body CompositionMuscle, SkeletalNutritional StatusNutrition AssessmentAdipose TissueBody Fluid CompartmentsDiagnostic ImagingHumansObesitySarcopeniabody compositionCTDXAimaginglean body masslean soft tissueMRInutrition statusosteosarcopenic obesitysarcopeniasarcopenic obesityultrasound

Identifiers

PMID25239112
PMCPMC4361695

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.